Remote sensing of biogeophysical variables at the Cape Bounty Arctic Watershed Observatory, Melville Island, Nunavut, Canada

• Published in: Arctic science 2024-06, Vol.10 (2), p.281-304
• Main Authors: Treitz, P.M., Atkinson, D.M., Blaser, A., Bonney, M.T., Braybrook, C.A., Buckley, E.C., Collingwood, A., Edwards, R., van Ewijk, K., Freemantle, V., Gregory, F., Holloway, J., Hung, J.K.Y., Lamoureux, S.F., Liu, N., Ljubicic, G., Robson, G., Rudy, A.C.A., Scott, N.A., Shang, C., Wall, J.
• Format: Article
• Language: English
• Subjects: Cape Bounty Arctic Watershed Observatory; carbon dioxide exchange; Climate change; Communications systems; Critical field (superconductivity); Data loggers; Degradation; Earth surface; Ecosystem structure; Ecosystems; Global warming; Hydrology; Modelling; Moisture content; Monitoring; Normalized difference vegetative index; Observatories; Permafrost; Plant cover; Precipitation; Remote sensing; Remote sensors; Satellites; Soil degradation; Soil moisture; Spatial discrimination; Spatial resolution; Structure-function relationships; Taiga & tundra; Telecommunications; Temperature; Terrestrial ecosystems; Variables; Vegetation; Vegetation cover; Watersheds; Wireless communication systems
• ISSN: 2368-7460; 2368-7460
• DOI: 10.1139/as-2023-0043

The Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, Nunavut (74°55′N, 109°34′W) was established in 2003 to examine Arctic ecosystem processes that would be impacted by climate warming and permafrost degradation. This paper provides a synthesis of how remote sensing has contributed to biogeophysical modelling and monitoring at the CBAWO from 2003 to 2023. Given the location and isolated nature of the CBAWO in the Canadian High Arctic, remote sensing data and derivatives have been instrumental for studies examining ecosystem structure and function at local and landscape scales. In combination with field measurements, remote sensing data facilitated mapping and modelling of vegetation types, % vegetation cover and aboveground phytomass, soil moisture, carbon exchange rates, and permafrost degradation and disturbance. It has been demonstrated that even in an environment with limited vegetation cover and phytomass, spectral vegetation indices (e.g., the normalized difference vegetation index) are able to model various biogeophysical variables. These applications are feasible for research sites such as the CBAWO using high spatial resolution remote sensing data across the visible, infrared, and microwave regions of the electromagnetic spectrum. Furthermore, as the satellite record continues to expand, we will gain a greater understanding of the impacts arising from the expected continued warming at northern latitudes. Although the logistics for research in the Arctic remain challenging, today's technologies (e.g., high spatial resolution satellite remote sensing, automated in situ sensors and data loggers, and wireless communication systems) can support a host of scientific endeavours in the Arctic (and other remote sites) through modelling and monitoring of biogeophysical variables and Earth surface processes with limited but critical field campaigns. The research synthesized here for the CBAWO highlights the essential role of remote sensing of terrestrial ecosystems in the Canadian Arctic.